Why is Python a language of choice for Data Scientists

Experts working with data science applications don’t want to get stuck down with complex programming requirements. They want to use simple & easy programming language & hence prefer python to perform tasks hassle-free. It's a powerful & versatile language that allows you to do more with less code.

According to IEEE Spectrum’s 2019 rankings, Python is firmly on top followed by Java, C, C++ & R.

The major reasons for the popularity of python are-

The major reasons for the popularity of python are-

• Huge community

Because of its vast applications such as scripting, development & so on, it has the support of a huge community, & hence brings many python experts together.

• Simplicity

Python is easy to read, understand & even simpler to set up. It doesn’t face any problems like classpath in Java & compiler issues in C++. All you need is its installation & you are ready to run it.

• Large standard library

Python comes with a large library which reduces your need to code for every single thing. It includes libraries for databases, unit testing, web browsers, regular expressions, & a lot of other functionality.

• GUI programming

It is very easy for a user to interact with software via GUI. Python offers various libraries such as Tkinter, JPython & wxPython for making graphical user interfaces for your applications. These toolkits enable a user for fast & easy development of GUI.

• Object-oriented

Python is said to be an object-oriented programming language that focuses on objects & combines data and functions. Along with object-oriented, it also supports procedure-oriented programming & multiple inheritances.

• Portable

Python is a portable language which means that there is no need to write different codes for different machines. In other words, you can take one code & run it on any machine. Care must be taken regarding system-dependent features.

Python: A Tool for Machine Learning

Python as a tool for Data Science, it becomes very easy & effective to explore the basics of machine learning. It is considered as one of the most significant machine learning tools as it allows the user to do math easily. For any math function, python offers a package to meet the requirement.

Python Applications

One of the major reasons for the popularity of python among data scientists is its application. Python can do wonders & there is no limit to the things one can do with python.

Python is the most preferred language for data science:

Following are the most significant applications of python

• Web Development

Python enables you to build apps at a much faster rate by using various frameworks like Django, Pyramid & Flask. Python is used to interact with databases & build rest API services.

• Data Science

Previously, Python was majorly used to automate tasks by writing scripts & for app development. But now the fast-growing trends of data science have increased the demand for python. Pandas, NumPy, TensorFlow, etc are some of the popular Python libraries & frameworks.

• Artificial Intelligence      

The coming future will be the era of Artificial Intelligence. Various corporations are trying to build intelligent systems that can perform tasks much similar to humans. The programming language, Python is popular for building AI systems. NLTK, OpenCV, Keras are the most common libraries for building such systems.

• Automation

There are various organizational tasks which are recurring in nature. All thanks to python which provides an opportunity to save a lot of time by automating repetitive tasks & makes life easier. Robot framework, PyTest, PyUnit are the frameworks or libraries used for automation.

Python & R, the two popular languages that compete for the top spot. Both these languages come with their strengths & weaknesses & are admired by enthusiasts. But with many tech giants showing the way to use Python & its easy learning curve, it inches ahead to become the most preferred language in the world of Data Science.